Descriptions:
Kimmy K2.5 is a new open-source multimodal model from the team behind Kimmy AI, positioned as competitive with leading closed models including Gemini 3, Opus 4.5, and GPT 5.2. It is available free at kimmy.com and ships in four modes: K2 Instance for fast responses, K2 Thinking for extended chain-of-thought reasoning, a Kimiku Agent for autonomous asset creation, and an Agent Swarm that deploys multiple specialized agents in parallel.
This video puts those claims through a series of demanding real-world tests. K2 Thinking autonomously writes and executes Python code — including OpenCV’s stereo SGBM algorithm — to extract a hidden plane from a stereogram image. It traces the shortest path through a dense visual maze, adds color-coded gradient overlays unprompted for clarity, and builds a functional Android OS simulation from a single detailed prompt. In a business workflow demo, the Slide Agent ingests a financial spreadsheet and generates a full polished presentation with accurate figures verified on screen: $510K fixed, $390K variable, $122K overhead for the operations segment.
Agent Swarm mode enables parallel research tasks that merge into a single deliverable, while specialized document and web research agents round out the platform. The video positions Kimmy K2.5 as a serious open-source option for developers and analysts who need multimodal reasoning, agentic task execution, and structured output generation without relying on proprietary APIs.
📺 Source: AI Search · Published January 30, 2026
🏷️ Format: Showcase
